Researchers propose Riemannian--Lorentz Parameter Fusion (RLPF), a method for merging pre-trained Vision Transformers and state-space models by aligning parameter groups by semantic role, enabling orders-of-magnitude savings versus retraining. Initial results show improved accuracy on CIFAR-10, Oxford-IIIT Pet, and ImageNet-1K.